DocumentCode
476115
Title
A self-organizing environmental potential field model based on fuzzy neural networks
Author
Zeng, Bi ; Yang, Yi-Min ; Su, Zhen-wen
Author_Institution
Guangdong Univ. of Technol., Guangzhou
Volume
4
fYear
2008
fDate
12-15 July 2008
Firstpage
1835
Lastpage
1839
Abstract
Aim at an autonomous mobile robot dynamics planning, this paper proposes a method to construct the dynamic environment potential field model to realize the autonomous mobile robot dynamics planning, and employ fuzzy neural network to tune potential field parameters to overcome the artificial potential field problems of the local minima. Simulation results show that the proposed method is not only effective in realizing optimal path planning, but also provides an effective action planning method which combine the traditional planning and the adaptive optimization technology based on the experience.
Keywords
fuzzy neural nets; mobile robots; optimisation; path planning; robot dynamics; self-adjusting systems; adaptive optimization; autonomous mobile robot dynamics planning; fuzzy neural networks; self-organizing environmental potential field; Cybernetics; Fuzzy logic; Fuzzy neural networks; Intelligent robots; Machine learning; Mobile robots; Navigation; Orbital robotics; Path planning; Technology planning; Artificial potential field; Fuzzy neural network; Mobile robots; Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620704
Filename
4620704
Link To Document